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MLOps Engineer

On-site
  • Brussels, Brussels Hoofdstedelijk Gewest, Belgium
Delivery

Job description

Are you ready to become your best self and deliver impact with AI?

At Radix, we deliver AI solutions that have a positive impact on the world. We are driven, go the extra mile and we have lots of fun! We foster an open culture of collaboration and knowledge sharing where everyone has a voice. We want to improve as many people’s lives as possible and we look for people who share the same commitment. Let’s create a better future. Together.

How will you make the difference?

With your talent, passion, and expertise, you’ll become part of an amazing team that makes the impossible possible! Next to that, you have an impact from the start & we will invest in your development to further your technical and personal growth. In this role, you’ll have the opportunity to work and learn, on impactful & rewarding challenges, including:

  • Designing and implementing Machine Learning Environments that make the life of ML engineers and data scientists at our clients, but also internally, better

  • Continuously building and deploying reproducible and scalable solutions on cloud infrastructure

  • Implement versioning of machine learning datasets, models and tracking of experiments

  • Design and build continuous integration of AI applications

  • Set up the monitoring and tracing tools in order to easily maintain our solutions

Which clients will you be working for?

All our clients are chosen with respect to our values and beliefs at Radix. Therefore, we offer you the opportunity to join one of the leading AI solution providers and work together with a breadth of industries and like-minded organizations, including GSK, Brussels Airport, Atlas Copco, Flanders Investment and Trade, VDAB, Belga, Macadam, House of HR and many more. Visit our website https://radix.ai/ for client testimonials and case studies.

What will we offer you?

At Radix, you’ll be part of a passionate & experienced team. Next to that, we organize frequent happy hours and team events to never forget! Your energy, drive, and commitment will be much appreciated by means of a competitive salary with a great package of extra benefits:

  • A flexible work from home policy to choose where, how, and when you want to work.
  • A cool, easily reachable office in Brussels (right above the central station).
  • Your own MacBook Pro, phone subscription, monitor, etc.
  • Monthly fixed cost, internet allowances.
  • A hospitalization & dental insurance with DKV for you and your family members.
  • Group insurance.
  • Meal and eco vouchers.
  • Full coverage of transportation costs.
  • Additional Radix holidays.

Still not convinced? Visit our website to discover why Radix will be your dream workplace: https://radix.ai/blog/2021/3/nine-reasons-why-radix-is-your-dream-workplace/

We are already looking forward to getting in touch with you!

Job requirements

What type of person are we looking for?


For this role, we are looking for a passionate engineer who is deeply interested in how to efficiently develop, deploy and maintain Artificial Intelligence applications. You’re driven to get things done and deliver real, impactful solutions in close collaboration with our customers. You’re motivated by working in a vibrant team on diverse projects.

  • You have a master’s or Ph.D. in Computer Science, Mathematics or a similar field.

  • You have excellent general Software Engineering skills, and a deep knowledge of how those work in Python: maintainable code, testing, linting, type checking, … are no strange concepts to you.

  • You are proficient in “classic” DevOps: strong experience with setting up CI/CD systems with declarative pipelines (GitHub Actions, GitLab CI/CD, “modern” Jenkins, …), monitoring, dev-qa-prod environments, …

  • You know your way around tooling for version control and application/library packaging (Git, Poetry, Conda, pip, Docker, …). Experience with advanced version control tools for ML datasets and models (DVC, Azure ML dataset versioning, …) is a strong plus.

  • You have great familiarity with the most common ways of storing data: SQL & other databases, blob storage, … especially in the cloud. You have a keen understanding of differences between different storage methods and know when to use which ones.

  • You fluently handle deployments with Docker and Kubernetes on Cloud Infrastructure. Experience with modern GitOps tools (e.g. ArgoCD) is a strong plus.

  • You have a good knowledge of how Machine Learning models work.

  • You have excellent communication skills in English.

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